Description: Learn from panelists from different companies as they come together to discuss their experiences.

Description: Indexed universal life (IUL) continues to be the most popular universal life (UL) product with sales reaching $1B in Q4 2023, according to LIMRA. There is little long term experience for IUL and many companies value and model IUL just like UL, but there are material potential differences that need to be considered for valuation and projection purposes. Presenters will discuss key risks and differences between IUL and UL relating to policyholder behavior and how to value, project, monitor and manage those risks to avoid repeating misestimates of the past. Presenters will also discuss broader life assumption risks such as mortality and yearly renewable term (YRT) reinsurance risk. Attendees will learn about options on how to potentially address underperforming blocks of IUL and will obtain an improved perspective on the risks of IUL products and the differences versus UL and how to incorporate these differences into their valuation and projection exercises.

Description: Hear about the latest trends and insights in regard to recent developments in the Life Insurance market. The speakers will discuss changes to the valuation, new business, and product development landscape in light of the recent economic environment, regulatory changes, and the evolution of underwriting practices. Attendees will learn about how pricing, valuation, and forecasting practices are adapting to meet objectives.

Description: This panel will take a holistic deep dive on the intersection of pending regulatory, actuarial, and technical developments in artificial intelligence (AI). Panelists will explore how AI and the diverse and evolving regulatory landscape surrounding this technology will impact actuaries' day-to-day jobs in managing risk, and what the (re)insurance industry is doing to leverage AI to streamline internal processes and simplify underwriting.

Description: The report discusses using behavioral science in redesigning life insurance underwriting questionnaires to improve disclosure rates. It includes an experimental study, industry survey insights, and discussions on application forms, behavioral science application, and organizational engagement with behavioral science in the insurance industry.

Description: LIMRA, Reinsurance Group of America (RGA), the Society of Actuaries (SOA) Research Institute, and TAI have collaborated on an ongoing effort to analyze the impact of COVID-19 on the individual life insurance industry’s mortality experience and share the emerging results with the insurance industry and the public. This report documents a high-level analysis of the claims that have been reported.

Description: The Mortality Improvement Life Working Group released a recommendation for a set of improvement factors that vary by gender and attained age to be used in conjunction with the 2008 Valuation Basic table or the 2015 Valuation Basic table for AG-38 purposes.

Description: The SOA’s Committee on Life Insurance Company Expenses (CLICE) has submitted its recommendation for the 2026 Generally Recognized Expense Table (GRET) for use with individual life insurance sales illustrations. This recommendation was adopted by LATF on October 2, 2025.

Description: Mortality improvement assumptions have typically been focused on all-cause mortality improvement. However, as evidenced in recent years, the cause of death has a large impact on mortality improvement. Join our panel of experts as they discuss mortality improvement through the lens of different causes of death. This discussion will include a review of the historical cause specific mortality improvement trends seen in the U.S. population and how this relates to the insured population. The panelists will then discuss how to use these trends to inform future mortality improvement assumptions. Key learning objectives include: - Identifying the trends in mortality improvement for select causes of death - Understanding how to adapt these for an insured population - Applying these learnings to mortality improvement assumptions

Description: There are many underwriting issues being discussed in states that challenge how information is used in the underwriting process. Learn more about a variety of rules and regulations, including Colorado's proposed regulation requiring a governance and risk management framework for life insurance carriers' use of external consumer data and information sources, as well as algorithms and predictive models using such data. Recent proposals are more far-reaching than existing requirements in states that have put up guardrails for the use of new data sets and algorithms, especially for underwriting. Listen in as experts discuss the potential issues and implications of this and other proposed regulations.